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AI Worksheet: Training Data, Model, Prediction

AI for students lesson 3: Training data, model and prediction · Set 816 · 40 questions
TalentJR

AI tip (Data → model → prediction): Training data = the examples (500 labelled leaf photos, old emails marked spam). The model = the learned patterns that training builds. A prediction = the model’s answer about something NEW (naming a new leaf, flagging a new email). The order is always data → model → prediction.

NameDateTime takenScore ___ / 40
  1. 1.🔁 Training data, the model or a prediction: “the learned patterns”? (a) training data (b) the model (c) a prediction
  2. 2.Which of these is a prediction? (a) what training builds (b) tomorrow’s rain guess (c) the trained program (d) past weather records
  3. 3.True or false: “the trained program” is a prediction. (a) True (b) False
  4. 4.True or false: “naming a new leaf” is training data. (a) False (b) True
  5. 5.⏩ In machine learning, which comes first: typing a new spoken word or what training builds? (a) typing a new spoken word (b) what training builds
  6. 6.🔁 Training data, the model or a prediction: “tomorrow’s rain guess”? (a) a prediction (b) training data (c) the model
  7. 7.⏩ In machine learning, which comes first: what training builds or flagging a new email? (a) what training builds (b) flagging a new email
  8. 8.🔁 What is the right order? (a) data, prediction, model (b) data, model, prediction (c) prediction, data, model (d) model, prediction, data
  9. 9.Which of these is a prediction? (a) recorded spoken words (b) typing a new spoken word (c) the learned patterns (d) the trained program
  10. 10.Which of these is training data? (a) what training builds (b) recorded spoken words (c) the trained program (d) typing a new spoken word
  11. 11.🧪 Why test a model on NEW examples? (a) to change its name (b) to make it slower (c) to delete its data (d) to see if it works
  12. 12.Which of these is training data? (a) tomorrow’s rain guess (b) the trained program (c) labelled fruit photos (d) the learned patterns
  13. 13.🔮 A trained model sees a new photo and says “mango”. This is… (a) a password (b) a label error (c) a prediction (d) training data
  14. 14.⏩ In machine learning, which comes first: past weather records or the learned patterns? (a) past weather records (b) the learned patterns
  15. 15.Which of these is a prediction? (a) old emails marked spam (b) flagging a new email (c) the learned patterns (d) 500 labelled leaf photos
  16. 16.True or false: “naming a new fruit photo” is a prediction. (a) True (b) False
  17. 17.⏩ In machine learning, which comes first: tomorrow’s rain guess or the trained program? (a) tomorrow’s rain guess (b) the trained program
  18. 18.True or false: “naming a new leaf” is a prediction. (a) False (b) True
  19. 19.Which of these is a prediction? (a) old emails marked spam (b) naming a new leaf (c) 500 labelled leaf photos (d) recorded spoken words
  20. 20.Which of these is the model? (a) flagging a new email (b) past weather records (c) what training builds (d) 500 labelled leaf photos
  21. 21.Which of these is training data? (a) past weather records (b) the learned patterns (c) typing a new spoken word (d) naming a new fruit photo
  22. 22.⏩ In machine learning, which comes first: naming a new fruit photo or the trained program? (a) naming a new fruit photo (b) the trained program
  23. 23.🔁 Training data, the model or a prediction: “naming a new leaf”? (a) the model (b) a prediction (c) training data
  24. 24.True or false: “typing a new spoken word” is training data. (a) True (b) False
  25. 25.⏩ In machine learning, which comes first: the trained program or typing a new spoken word? (a) the trained program (b) typing a new spoken word
  26. 26.🔁 Training data, the model or a prediction: “past weather records”? (a) the model (b) a prediction (c) training data
  27. 27.Which of these is training data? (a) tomorrow’s rain guess (b) flagging a new email (c) old emails marked spam (d) naming a new fruit photo
  28. 28.⏩ In machine learning, which comes first: typing a new spoken word or old emails marked spam? (a) typing a new spoken word (b) old emails marked spam
  29. 29.⏩ In machine learning, which comes first: the learned patterns or naming a new leaf? (a) the learned patterns (b) naming a new leaf
  30. 30.Which of these is training data? (a) the trained program (b) 500 labelled leaf photos (c) tomorrow’s rain guess (d) typing a new spoken word
  31. 31.True or false: “labelled fruit photos” is the model. (a) True (b) False
  32. 32.True or false: “the learned patterns” is the model. (a) True (b) False
  33. 33.⏩ In machine learning, which comes first: naming a new leaf or the learned patterns? (a) naming a new leaf (b) the learned patterns
  34. 34.🔁 Training data, the model or a prediction: “labelled fruit photos”? (a) the model (b) a prediction (c) training data
  35. 35.Which of these is the model? (a) old emails marked spam (b) 500 labelled leaf photos (c) recorded spoken words (d) the learned patterns
  36. 36.⏩ In machine learning, which comes first: typing a new spoken word or 500 labelled leaf photos? (a) typing a new spoken word (b) 500 labelled leaf photos
  37. 37.Which of these is a prediction? (a) naming a new fruit photo (b) old emails marked spam (c) the learned patterns (d) 500 labelled leaf photos
  38. 38.🔁 Training data, the model or a prediction: “the trained program”? (a) training data (b) a prediction (c) the model
  39. 39.🔁 Training data, the model or a prediction: “typing a new spoken word”? (a) the model (b) training data (c) a prediction
  40. 40.🔁 Training data, the model or a prediction: “old emails marked spam”? (a) a prediction (b) training data (c) the model

Answer key

  1. the model
  2. tomorrow’s rain guess
  3. False
  4. False
  5. what training builds
  6. a prediction
  7. what training builds
  8. data, model, prediction
  9. typing a new spoken word
  10. recorded spoken words
  11. to see if it works
  12. labelled fruit photos
  13. a prediction
  14. past weather records
  15. flagging a new email
  16. True
  17. the trained program
  18. True
  19. naming a new leaf
  20. what training builds
  21. past weather records
  22. the trained program
  23. a prediction
  24. False
  25. the trained program
  26. training data
  27. old emails marked spam
  28. old emails marked spam
  29. the learned patterns
  30. 500 labelled leaf photos
  31. False
  32. True
  33. the learned patterns
  34. training data
  35. the learned patterns
  36. 500 labelled leaf photos
  37. naming a new fruit photo
  38. the model
  39. a prediction
  40. training data

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